R&D May đo (Track 02)Production Verified

Custom Solutions

Huấn luyện thuật toán riêng biệt trên dữ liệu độc quyền của doanh nghiệp

Phát triển toàn diện từ mô hình dự báo, thị giác máy tính đến tích hợp sâu vào hệ thống di sản như ERP, CRM, MES của doanh nghiệp.

WATCH DEMO VIDEO REQUEST ARCHITECTURE WORKSHOP

PROVEN ROI STATISTIC

22%

Operating efficiency improvement

DEPLOYMENTCUSTOM WORK

RESPONSE LATENCY< 500MS

OPERATIONAL CONTEXT

Why off-the-shelf software packages fail your unique business workflows?

Ready-made SaaS tools force you to compromise your unique production and logistics workflows.

Proprietary corporate data is exposed to compliance leaks when processed on public SaaS cloud engines.

Integrating AI features into legacy ERP, CRM, and MES systems is slow and technically challenging.

TRADITIONAL TECHNOLOGY FAILURES

In-house software attempts fail due to lack of specialized AI engineering talent and model degradation.

ECONOMIC LOSS / RISK SUMMARY

Loss of proprietary competitive advantages and millions wasted in failed legacy digitalization initiatives.

OPERATIONAL FLOW

5 Steps of AI-Driven Automation

Advisory & Discovery

Deep assessment of data maturity and operational bottlenecks.

Data Ingestion & Labeling

Building pipelines to collect, clean, and annotate your proprietary dataset.

Proprietary Model Training

Training custom machine learning architectures tailored to your KPIs.

Legacy Integration

Securing API connectors directly into active ERP, CRM, or MES databases.

Transfer & Operations

Code handover, infrastructure launch, and scheduled model recalibration.

PRODUCT CAPABILITIES

Deep Technical & Operational Value

Proprietary Custom Algorithms

ALGORITHM / TECH SPEC:

Deep learning models built and trained on your private cluster

OPERATIONAL BEHAVIOR:

Solves specific computer vision QA or predictive maintenance problems

BUSINESS OUTCOME:

Secures proprietary competitive barriers

Full-Stack System Engineering

ALGORITHM / TECH SPEC:

Modern decoupled architecture using Next.js, FastAPI, and Docker

OPERATIONAL BEHAVIOR:

Deploys web, mobile, and IoT edge hardware interfaces

BUSINESS OUTCOME:

100% intellectual property ownership

Legacy System Connectors

ALGORITHM / TECH SPEC:

High-performance API bridges using gRPC, REST, and Kafka event brokers

OPERATIONAL BEHAVIOR:

Pipes data seamlessly between custom AI and old databases

BUSINESS OUTCOME:

80% reduction in manual data transfer tasks

DEPLOYMENT SCENARIOS

Target Industries & Execution

Perishable Dairy Logistics

OPERATIONAL CHALLENGE:

Inability to verify raw milk temperature consistency from farms to plant.

AI IMPLEMENTATION:

Developed custom AI pipeline connected with IoT container temperature logs.

MEASURED OUTCOME:

22% shipping efficiency boost and saved 15 minutes per tank test.

Textile & Apparel Export

OPERATIONAL CHALLENGE:

Manual fabric QA checks are slow, subjective, and miss micro-defects.

AI IMPLEMENTATION:

Designed high-speed optical scanner line running custom vision models.

MEASURED OUTCOME:

80% reduction in textile defects shipped to overseas buyers.

TECHNICAL ARCHITECTURE

4-Layer Unified AI Architecture

L1: Data Infrastructure Layer

Pipes execution scripts and raw data blocks securely for dedicated model tracking.

Proprietary enterprise data pipelinesEdge IoT sensor aggregatorsIsolated Data Lake repositories

L2: AI Core Intelligence Layer

Pipes execution scripts and raw data blocks securely for dedicated model tracking.

Custom trained model weightsDedicated private GPU training nodesAutomated MLOps retraining loops

L3: Workflow Integration Layer

Pipes execution scripts and raw data blocks securely for dedicated model tracking.

ERP, CRM, and MES native plug-insBespoke administrative command centersEvent-driven message queuing (Kafka)

L4: Governance & Security Layer

Pipes execution scripts and raw data blocks securely for dedicated model tracking.

100% source code ownership transferEncrypted operation logsOn-Premise air-gapped security models

FEATURED IMPLEMENTATION

Bespoke Cold Chain Logistics AI at TH True Milk

Challenge: Manual temperature audits of milk tankers caused heavy bottlenecks at factory entry gates.

Implementation: Built a customized IoT-connected AI platform tracking temperature anomalies in transit.

Outcome: Synced fleet telemetry to scheduling systems, boosting logistics throughput by 22%.

ROI METRIC

Achieved full project payback (ROI) in 9 months.

Verified through internal operational review metrics post-deployment.

ENTERPRISE TRUST & GOVERNANCE

Air-Gapped Privacy & Security Standards

Full Code Ownership Transfer

Corporate client retains 100% of custom software code and IP rights.

Air-Gapped Deployment

System can run in isolated environments without external web access to guard trade secrets.

Strict Data Governance

Strict commitment that client data is never utilized for generic model training.

FREQUENTLY ASKED QUESTIONS

Detailed Technical Inquiries

What are the costs for custom AI development?

Pricing is quoted individually based on model complexity and data availability. Contact us for a scoping session.

Do we own the intellectual property rights?

Yes, OMNISYNC transfers 100% source code ownership and patent rights to your organization upon project completion.

What is the typical project timeline?

A custom build takes from 1 to 3 months across scoping, model training, system integration, and final handover.

Can the software be deployed on our own hardware servers?

Yes, we support deployments on cloud clusters (AWS, Azure, GCP) as well as private On-Premise servers.

Where do we source the training data?

We leverage your existing databases, combined with synthetic augmentation techniques, to build the training set.

Do you offer post-launch model maintenance?

Yes, we provide service agreements to monitor model drift and recalibrate weights as operational patterns evolve.

Can this custom solution connect to SAP ERP?

Yes, our engineering team has deep expertise connecting AI engines directly to legacy ERP, CRM, and MES systems.

How do we get started?

Nguyen Duong solutions

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